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Surrogate models (SMs) are generally employed in expensive engineering optimization and uncertainty quantification. At present, it is still one of the hot topics for researchers to construct high-performance SMs with limited resources. By comparing the predicted errors of the typical functions, this work intends to obtain the applicability of typical SMs and the count of the necessary experimental samples for efficiently constructing SMs. In detail, representative test functions such as Branin-Hoo, Camelback, Godlstein-Price, Hartman, ZDT3 and ZDT4 are approximated by the models such as PRS, RBF, GP, NN and SVR. The predicted indicators such as R2, RMSE and MAE under multiple groups of experimental samples are discussed by cross-validation. Finally, the applicability of typical SMs and the count of experimental samples in DOE are given, and the conclusion might be a reference for constructing high-performance SMs and an ensemble of SMs.

In order to bring convenience to sanitation workers and residents and help build smart cities. The innovative method of TRIZ concept is introduced into the design of sanitation vehicle, the method of System & Component Analysis and STC Operator are used to analyze this problem, and then the Technical Contradiction Analysis, and other methods are used to solve this problem. This paper scientifically analyzes various problems existing in sanitation vehicle that need to be improved, obtains a variety of technical schemes, and finally comprehensively analyzes and designs a modular design sanitation vehicle that can be used in a variety of occasions and has a variety of functions. The innovative method of TRIZ theory is used for design, and it also provides method application cases for other products with this demand.

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